Originalartikel | erschienen - Druck | peer reviewed
A mobile and asynchronous electronic data capture system for epidemiologic studies
Computer Methods and Programs in Biomedicine
2013 ;
110(3):
369 - 379
Bibliometrische Indikatoren
Impact Factor = 1,093
Zitierhäufigkeit nach WOS = 19
DOI = 10.1016/j.cmpb.2012.10.015
PubMed-ID = 23195493
Autoren
Beteiligte Einrichtungen
fis.beans.InstitutionBean@44caa697
Abstract
A Central Data Management (CDM) system based on Electronic Data Capture (EDC) software and study specific databases is an essential component for assessment and management of large data volumes in epidemiologic studies. Conventional CDM systems using web applications for data capture depend on permanent access to a network. However, in many study settings permanent network access cannot be guaranteed, e.g. when participants/patients are visited in their homes. In such cases a different concept for data capture is needed. The utilized EDC software must be able to ensure data capture as stand-alone instance and to synchronize captured data with the server at a later point in time. This article describes the design of the Mobile Information Capture (MInCa) system an EDC software meeting these requirements. In particular, we focus on client and server design, data synchronization, and data privacy as well as data security measures.
The MInCa software has already proven its efficiency in epidemiologic studies revealing strengths and weaknesses concerning both concept and practical application which will be addressed in this article.
Veröffentlicht in
Computer Methods and Programs in Biomedicine
| Jahr | 2013 |
| Impact Factor (2013) | 1,093 |
| Volume | 110 |
| Issue | 3 |
| Seiten | 369 - 379 |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Originalartikel |
| Artikelstatus | erschienen - Druck |
| DOI | 10.1016/j.cmpb.2012.10.015 |
| PubMed-ID | 23195493 |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: COMPUT METH PROG BIO
ISSN: 0169-2607
eISSN: 1872-7565
Land: NETHERLANDS
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 0169-2607
eISSN: 1872-7565
Land: NETHERLANDS
Sprache: English
Kategorie(n):
- ENGINEERING, BIOMEDICAL
- COMPUTER SCIENCE, THEORY & METHODS
- MEDICAL INFORMATICS
- COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Impact Factor Entwicklung
| Jahr | Impact Factor |
|---|---|
| 2008 | 1,22 |
| 2009 | 1,144 |
| 2010 | 1,238 |
| 2011 | 1,516 |
| 2012 | 1,555 |
| 2013 | 1,093 |
| 2014 | 1,897 |
| 2015 | 1,862 |
| 2016 | 2,503 |
| 2017 | 2,674 |
| 2018 | 3,424 |
| 2019 | 3,632 |
| 2020 | 5,428 |
| 2021 | 7,027 |
| 2022 | 6,1 |
| 2023 | 4,9 |
| 2024 | 4,8 |
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